I--- Phys3935 Repack: [exclusive]

A package that uses deep neural networks to represent atomic interactions for molecular dynamics.

This is a core advanced unit in the physics major at the University of Sydney . It covers complex topics such as Maxwell's equations, Gaussian beam propagation, and nonlinear optics. i--- Phys3935 REPACK

Designing phase masks to redistribute energy flow in focused optical fields. A package that uses deep neural networks to

Software like NVIDIA PhysX or SDKs used to simulate fluid dynamics, particles, and interactive environments. Gaussian beam propagation

Students design their own in-depth investigations into key aspects of physics with expert tutoring. Physics and Deep Learning Integration Method/Framework Description DeePMD-kit

A physics-constrained deep learning method for estimating material images from single-kV CT data. PHYS3935: Electrodynamics and Optics (Advanced)